OpenML
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 1912 Supervised Classification pendigits 167 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8119, kappa: 0.7926, kb_relative_information_score: 83387.4153, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8137, predictive_accuracy: 0.8133, prior_entropy: 3.3208, recall: 0.8133, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5629, scimark_benchmark: 851.2074, usercpu_time_millis: 16720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 16690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 941.6675, usercpu_time_millis: 300, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 941.6675, usercpu_time_millis: 290, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9782, kappa: 0.9758, kb_relative_information_score: 105513.4841, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9783, predictive_accuracy: 0.9782, prior_entropy: 3.3208, recall: 0.9782, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2167, scimark_benchmark: 941.6675, usercpu_time_millis: 1360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 931.771, usercpu_time_millis: 5780, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.085, kappa: 0.039, kb_relative_information_score: 10711.2411, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.5302, predictive_accuracy: 0.139, prior_entropy: 3.3208, recall: 0.139, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.415, root_relative_squared_error: 1.3834, scimark_benchmark: 941.3847, usercpu_time_millis: 75400, usercpu_time_millis_testing: 20250, usercpu_time_millis_training: 55150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9522, kappa: 0.9469, kb_relative_information_score: 100972.9566, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 3.3208, recall: 0.9522, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3108, scimark_benchmark: 947.1781, usercpu_time_millis: 37160, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 36510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 943.1009, usercpu_time_millis: 5860, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 819.5729, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8119, kappa: 0.7926, kb_relative_information_score: 83387.4153, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8137, predictive_accuracy: 0.8133, prior_entropy: 3.3208, recall: 0.8133, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5629, scimark_benchmark: 608.4057, usercpu_time_millis: 18350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 18320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.085, kappa: 0.039, kb_relative_information_score: 10711.2411, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.5302, predictive_accuracy: 0.139, prior_entropy: 3.3208, recall: 0.139, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.415, root_relative_squared_error: 1.3834, scimark_benchmark: 935.5664, usercpu_time_millis: 72650, usercpu_time_millis_testing: 26460, usercpu_time_millis_training: 46190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 903.2737, usercpu_time_millis: 280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 941.4991, usercpu_time_millis: 270, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9782, kappa: 0.9758, kb_relative_information_score: 105513.4841, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9783, predictive_accuracy: 0.9782, prior_entropy: 3.3208, recall: 0.9782, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2167, scimark_benchmark: 933.3455, usercpu_time_millis: 1300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 936.9595, usercpu_time_millis: 280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9522, kappa: 0.9469, kb_relative_information_score: 100972.9566, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 3.3208, recall: 0.9522, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3108, scimark_benchmark: 1051.249, usercpu_time_millis: 75630, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 73580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 936.9595, usercpu_time_millis: 6520, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 5680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9943, kb_relative_information_score: 107312.1346, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 3.3208, recall: 0.9949, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.1378, scimark_benchmark: 851.2074, usercpu_time_millis: 307760, usercpu_time_millis_testing: 71850, usercpu_time_millis_training: 235910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9947, kappa: 0.9941, kb_relative_information_score: 107302.6786, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 3.3208, recall: 0.9947, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.1394, scimark_benchmark: 934.695, usercpu_time_millis: 92670, usercpu_time_millis_testing: 19880, usercpu_time_millis_training: 72790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 107286.6253, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.3208, recall: 0.9944, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1422, scimark_benchmark: 944.235, usercpu_time_millis: 39210, usercpu_time_millis_testing: 4780, usercpu_time_millis_training: 34430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9936, kappa: 0.9928, kb_relative_information_score: 107255.2631, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 3.3208, recall: 0.9936, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0444, root_relative_squared_error: 0.1481, scimark_benchmark: 930.0399, usercpu_time_millis: 21030, usercpu_time_millis_testing: 2510, usercpu_time_millis_training: 18520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9919, kappa: 0.991, kb_relative_information_score: 107170.4633, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.3208, recall: 0.9919, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.159, scimark_benchmark: 926.5859, usercpu_time_millis: 11410, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 10200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8973, kappa: 0.886, kb_relative_information_score: 97205.3885, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8973, predictive_accuracy: 0.8974, prior_entropy: 3.3208, recall: 0.8974, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.415, scimark_benchmark: 929.0296, usercpu_time_millis: 1820, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.0919, kappa: 0.1115, kb_relative_information_score: 24361.1936, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.062, predictive_accuracy: 0.2039, prior_entropy: 3.3208, recall: 0.2039, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.0919, kappa: 0.1115, kb_relative_information_score: 24361.1936, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.062, predictive_accuracy: 0.2039, prior_entropy: 3.3208, recall: 0.2039, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.0919, kappa: 0.1115, kb_relative_information_score: 24361.1936, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.062, predictive_accuracy: 0.2039, prior_entropy: 3.3208, recall: 0.2039, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 940.0055, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.0919, kappa: 0.1115, kb_relative_information_score: 24361.1936, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.062, predictive_accuracy: 0.2039, prior_entropy: 3.3208, recall: 0.2039, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.0919, kappa: 0.1115, kb_relative_information_score: 24361.1936, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.062, predictive_accuracy: 0.2039, prior_entropy: 3.3208, recall: 0.2039, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9608, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.0512, kappa: -0.0004, kb_relative_information_score: 6710.7582, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.0432, predictive_accuracy: 0.1037, prior_entropy: 3.3208, recall: 0.1037, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.4114, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9868, kappa: 0.9853, kb_relative_information_score: 106718.3982, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 3.3208, recall: 0.9868, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1785, scimark_benchmark: 906.0884, usercpu_time_millis: 11530, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 10000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9768, kappa: 0.9743, kb_relative_information_score: 106187.2843, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 3.3208, recall: 0.9768, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.2118, scimark_benchmark: 943.4741, usercpu_time_millis: 314500, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 314360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.0941, kappa: 0.1158, kb_relative_information_score: 24449.4747, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.1387, predictive_accuracy: 0.2078, prior_entropy: 3.3208, recall: 0.2078, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9591, scimark_benchmark: 931.7994, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8119, kappa: 0.7926, kb_relative_information_score: 83387.4153, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8137, predictive_accuracy: 0.8133, prior_entropy: 3.3208, recall: 0.8133, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5629, scimark_benchmark: 869.7548, usercpu_time_millis: 8410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9522, kappa: 0.9469, kb_relative_information_score: 100972.9566, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 3.3208, recall: 0.9522, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3108, scimark_benchmark: 1325.8468, usercpu_time_millis: 54000, usercpu_time_millis_testing: 2100, usercpu_time_millis_training: 51900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 1350.7721, usercpu_time_millis: 180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 1367.3264, usercpu_time_millis: 5390, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9656, kappa: 0.9618, kb_relative_information_score: 105751.4204, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 3.3208, recall: 0.9656, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.2718, scimark_benchmark: 1319.5773, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8119, kappa: 0.7926, kb_relative_information_score: 83387.4153, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8137, predictive_accuracy: 0.8133, prior_entropy: 3.3208, recall: 0.8133, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5629, scimark_benchmark: 1337.4384, usercpu_time_millis: 9260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.085, kappa: 0.039, kb_relative_information_score: 10711.2411, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.5302, predictive_accuracy: 0.139, prior_entropy: 3.3208, recall: 0.139, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.415, root_relative_squared_error: 1.3834, scimark_benchmark: 1349.1517, usercpu_time_millis: 122590, usercpu_time_millis_testing: 45370, usercpu_time_millis_training: 77220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 1396.1629, usercpu_time_millis: 150, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9782, kappa: 0.9758, kb_relative_information_score: 105513.4841, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9783, predictive_accuracy: 0.9782, prior_entropy: 3.3208, recall: 0.9782, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2167, scimark_benchmark: 1292.1745, usercpu_time_millis: 1090, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1344.7524, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 1382.5085, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 1325.1482, usercpu_time_millis: 4640, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 4190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.983, kappa: 0.9811, kb_relative_information_score: 105673.8847, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 3.3208, recall: 0.983, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.2011, scimark_benchmark: 1357.7543, usercpu_time_millis: 8210, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1337.9552, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.085, kappa: 0.039, kb_relative_information_score: 10711.2411, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.5302, predictive_accuracy: 0.139, prior_entropy: 3.3208, recall: 0.139, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.415, root_relative_squared_error: 1.3834, scimark_benchmark: 1334.1324, usercpu_time_millis: 117760, usercpu_time_millis_testing: 48510, usercpu_time_millis_training: 69250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 1347.993, usercpu_time_millis: 5350, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 106752.9434, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1634, scimark_benchmark: 1326.8946, usercpu_time_millis: 5410, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 4780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 108431.5813, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.3208, recall: 0.9865, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1534, scimark_benchmark: 1320.9387, usercpu_time_millis: 3710, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 933.1165, usercpu_time_millis: 510, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8771, kappa: 0.8651, kb_relative_information_score: 96807.4613, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8864, predictive_accuracy: 0.8786, prior_entropy: 3.3208, recall: 0.8786, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4793, scimark_benchmark: 1322.7383, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.9797, kb_relative_information_score: 107892.6666, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 3.3208, recall: 0.9817, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1795, scimark_benchmark: 933.1165, usercpu_time_millis: 250, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1064.8317, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9912, kb_relative_information_score: 109049.5756, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 3.3208, recall: 0.992, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0359, root_relative_squared_error: 0.1196, scimark_benchmark: 1323.4648, usercpu_time_millis: 557190, usercpu_time_millis_testing: 557180, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9599, kappa: 0.9554, kb_relative_information_score: 104946.4958, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 3.3208, recall: 0.9599, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2889, scimark_benchmark: 1340.1351, usercpu_time_millis: 2920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1249.4068, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9852, kappa: 0.9835, kb_relative_information_score: 108284.2817, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 3.3208, recall: 0.9852, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1721, scimark_benchmark: 1307.8606, usercpu_time_millis: 109130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 109070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9816, kappa: 0.9796, kb_relative_information_score: 107795.1859, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9816, predictive_accuracy: 0.9816, prior_entropy: 3.3208, recall: 0.9816, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1791, scimark_benchmark: 1324.5988, usercpu_time_millis: 48730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 48710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9832, kappa: 0.9813, kb_relative_information_score: 105692.3375, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 3.3208, recall: 0.9832, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1999, scimark_benchmark: 939.5088, usercpu_time_millis: 20430, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 19890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8771, kappa: 0.8651, kb_relative_information_score: 96807.4613, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8864, predictive_accuracy: 0.8786, prior_entropy: 3.3208, recall: 0.8786, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4793, scimark_benchmark: 1341.4232, usercpu_time_millis: 230, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1371.9645, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8862, kappa: 0.8737, kb_relative_information_score: 96802.7583, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, number_of_instances: 109920, precision: 0.8863, predictive_accuracy: 0.8864, prior_entropy: 3.3208, recall: 0.8864, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581, scimark_benchmark: 1322.4968, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs